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working in the development of gene therapy strategies for neurological paediatric rare diseases using AAV vectors, animal models and iPSC-derived neurons from patients, with the aim to arrive to clinical
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candidate will contribute to the theoretical and physical chemistry aspects of the project, with particular emphasis on the analysis and modelling of non-equilibrium chemical systems and reaction–diffusion
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multidisciplinary teams (bioprocess engineering, omics analysis, modelling). Supervise and support PhD students and laboratory technicians. Where to apply Website https://eurecat.talentclue.com/en/node/123629429
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Education and qualifications: Required: PhD degree in Biotechnology or related fields. Experience in experimental models and molecular microbiology of serious infections (e.g., bacteraemia, endocarditis
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and modelling of omics, clinical and imaging data, development of reproducible pipelines, application of machine learning techniques, integration of multi-modal data, scientific publication and
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codes is essential. Experience with modelling conjugated organic molecular-based systems (e.g. electronic structure, charge transport) would be particularly highly valued. Experience in coding with Python
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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. The successful candidate will be joining the Molecular Nanophotonics group led by Prof. Dr. Niek van Hulst. Key responsibilities Contribute to Project FastTrack, to track energy (exciton/charge) transport in
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research communities. Applicants are invited to propose a research project around the development of AI models for predicting promising catalyst candidates to integrate molecular modelling techniques
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the EU Research Framework Programme? Other EU programme Reference Number PID2023-147939NB-I00 Is the Job related to staff position within a Research Infrastructure? No Offer Description Molecular modelling